Product Manager - Conversational AI &Performance Support
Apple
1 day ago
On-site
Cupertino, California, United States
The WW Channel Strategy \u0026 Operations (CSO) team focuses on developing and deploying global sales platforms andprocesses to deliver exceptional customer experiences and drive business outcomes. We are seeking a Product Manager toown the roadmap for real-time, conversational AI guidance that enables seller performance and skill development, and isaccountable for driving seller performance outcomes, not just usage. This is a global role, serving Apple’s channel sellersacross 100+ countries and many languages.
1. Product Strategy \u0026 Vision\\nDefine and drive the product vision, strategy, and roadmap for real-time, in-the-moment seller performance supportpowered by conversational AI\\nOwn the Perform pillar of Prepare, Perform, Grow — the live, with-customer moment — while ensuring real-timeguidance also strengthens how sellers prepare and continue to grow\\nPartner with the Product Managers owning seller learning and practice experiences to ensure a connected path from preparation through live performance\\n\\n2. Conversational AI \u0026 Guidance Experience\\nOwn the end-to-end experience of how sellers access guidance in real time, including conversational AI interactions\\nDefine product requirements that balance speed, accuracy, and trust in AI-generated guidance\\nOwn personalization of the guidance experience itself, partnering with the backend platform PM to leverage theunderlying signal and profile infrastructure\\n\\n3. Performance Impact \u0026 Outcomes\\nDefine what “effective in-the-moment support” looks like and build the mechanisms to measure it\\nCenter success criteria on seller performance and confidence in live selling moments, not just usage or engagement\\nUse outcome data to continuously evolve the guidance experience\\n\\n4. Cross-Functional Collaboration\\nPartner with the PM owning seller practice and simulation experiences to ensure skills built in practice carry into liveperformance support\\nPartner with the PM owning personalization and coaching intelligence, and the backend platform PM, to ensureguidance is personalized and powered by the right signals\\nPartner with engineering, design, data \u0026 analytics, and EPMs to drive execution from concept to launch\\nPartner with Content, Product Marketing, Brand, and Legal to define and govern the voice, tone, and disclaimers of AI-generated guidance\\n\\n5. Metrics \u0026 Performance\\nDefine and track success metrics centered on seller performance and guidance effectiveness\\nUse data to drive continuous improvement and prioritization\\nMaintain a well-structured, prioritized backlog for the guidance experience
Own the roadmap for real-time, in-the-moment sales guidance\\nDefine the product strategy for growing real-time guidance into a full performance-support experience\\nEnsure clean handoff and alignment with the PMs owning practice, personalization, and backend platform\\nDefine and track performance-based success metrics\\nPartner with engineering and data science to translate guidance strategy into scalable systems
8+ years of product management experience, ideally including learner-facing, seller-facing, or performance-supportproducts\\nExperience with LLM-based or GenAI product development\\nExperience building products that span both B2B and B2C selling motions, at global scale — including multi-language ormulti-region deployment\\nStrong ability to translate complex seller- or customer-facing needs into scalable product requirements\\nProven track record defining success metrics centered on performance outcomes, not just usage or engagement\\nExperience partnering across multiple PMs/surfaces to drive a cross-cutting capability\\nExperience working with cross-functional teams in Agile environments\\nBachelor’s degree or equivalent experience
Experience in B2B/B2C sales enablement or learning technologies\\nExperience implementing and scaling workflow learning or learning-in-the-flow-of-work approaches
1. Product Strategy \u0026 Vision\\nDefine and drive the product vision, strategy, and roadmap for real-time, in-the-moment seller performance supportpowered by conversational AI\\nOwn the Perform pillar of Prepare, Perform, Grow — the live, with-customer moment — while ensuring real-timeguidance also strengthens how sellers prepare and continue to grow\\nPartner with the Product Managers owning seller learning and practice experiences to ensure a connected path from preparation through live performance\\n\\n2. Conversational AI \u0026 Guidance Experience\\nOwn the end-to-end experience of how sellers access guidance in real time, including conversational AI interactions\\nDefine product requirements that balance speed, accuracy, and trust in AI-generated guidance\\nOwn personalization of the guidance experience itself, partnering with the backend platform PM to leverage theunderlying signal and profile infrastructure\\n\\n3. Performance Impact \u0026 Outcomes\\nDefine what “effective in-the-moment support” looks like and build the mechanisms to measure it\\nCenter success criteria on seller performance and confidence in live selling moments, not just usage or engagement\\nUse outcome data to continuously evolve the guidance experience\\n\\n4. Cross-Functional Collaboration\\nPartner with the PM owning seller practice and simulation experiences to ensure skills built in practice carry into liveperformance support\\nPartner with the PM owning personalization and coaching intelligence, and the backend platform PM, to ensureguidance is personalized and powered by the right signals\\nPartner with engineering, design, data \u0026 analytics, and EPMs to drive execution from concept to launch\\nPartner with Content, Product Marketing, Brand, and Legal to define and govern the voice, tone, and disclaimers of AI-generated guidance\\n\\n5. Metrics \u0026 Performance\\nDefine and track success metrics centered on seller performance and guidance effectiveness\\nUse data to drive continuous improvement and prioritization\\nMaintain a well-structured, prioritized backlog for the guidance experience
Own the roadmap for real-time, in-the-moment sales guidance\\nDefine the product strategy for growing real-time guidance into a full performance-support experience\\nEnsure clean handoff and alignment with the PMs owning practice, personalization, and backend platform\\nDefine and track performance-based success metrics\\nPartner with engineering and data science to translate guidance strategy into scalable systems
8+ years of product management experience, ideally including learner-facing, seller-facing, or performance-supportproducts\\nExperience with LLM-based or GenAI product development\\nExperience building products that span both B2B and B2C selling motions, at global scale — including multi-language ormulti-region deployment\\nStrong ability to translate complex seller- or customer-facing needs into scalable product requirements\\nProven track record defining success metrics centered on performance outcomes, not just usage or engagement\\nExperience partnering across multiple PMs/surfaces to drive a cross-cutting capability\\nExperience working with cross-functional teams in Agile environments\\nBachelor’s degree or equivalent experience
Experience in B2B/B2C sales enablement or learning technologies\\nExperience implementing and scaling workflow learning or learning-in-the-flow-of-work approaches